ASDE: Design of a Transformational Environment for LOTOS. - Gonzalo León; Carlos Delgado Kloos; Gustavo-Adolfo Ramírez-González; M. A. Ruz; Saturnino Marchena Rodriguez; L. Santos; José Manuel Navarro (FORTE, 1989)

Classification in Sparse, High Dimensional Environments Applied to Distributed Systems Failure Prediction. - José Manuel Navarro; Hugo A. Parada G.; Juan C. Dueñas (ICAISC, 2015)

Root Cause Analysis of Network Failures Using Machine Learning and Summarization Techniques. - José Manuel Navarro; Javier Andion Jimenez; Juan Carlos Dueñas López; Hugo A. Parada G. (IEEE Commun. Mag., 2017)

Optimizing Failure Prediction Time Windows Through Genetic Algorithms and Random Forests. - José Manuel Navarro; Javier Andion Jimenez; Juan Carlos Dueñas López (IEEE Access, 2018)

Applying Event Stream Processing to Network Online Failure Prediction. - Juan C. Dueñas; José Manuel Navarro; Hugo A. Parada G.; Javier Andion Jimenez; Félix Cuadrado (IEEE Commun. Mag., 2018)

Smart Behavioral Analytics over a Low-Cost IoT Wi-Fi Tracking Real Deployment. - Javier Andion Jimenez; José Manuel Navarro; Gregorio López; Manuel Alvarez-Campana; Juan C. Dueñas (Wirel. Commun. Mob. Comput., 2018)

Computer Network Events. - Javier Andión; José Manuel Navarro; Juan Carlos Dueñas López (IEEE DataPort, 2019)

Random Histogram Forest for Unsupervised Anomaly Detection. - Andrian Putina; Mauro Sozio; Dario Rossi 001; José Manuel Navarro (ICDM, 2020)

HURRA! Human readable router anomaly detection. - José Manuel Navarro; Dario Rossi 001 (ITC, 2020)

STREamRHF: Tree-Based Unsupervised Anomaly Detection for Data Streams. - Stefan Nesic; Andrian Putina; Maroua Bahri; Alexis Huet; José Manuel Navarro; Dario Rossi 001; Mauro Sozio (AICCSA, 2022)

Local Evaluation of Time Series Anomaly Detection Algorithms. - Alexis Huet; José Manuel Navarro; Dario Rossi 001 (KDD, 2022)

Human readable network troubleshooting based on anomaly detection and feature scoring. - José Manuel Navarro; Alexis Huet; Dario Rossi 001 (Comput. Networks, 2022)

Rare Yet Popular: Evidence and Implications from Labeled Datasets for Network Anomaly Detection. - José Manuel Navarro; Alexis Huet; Dario Rossi 001 (CoRR, 2022)

Meta-Learning for Fast Model Recommendation in Unsupervised Multivariate Time Series Anomaly Detection. - José Manuel Navarro; Alexis Huet; Dario Rossi 001 (AutoML, 2023)

Change Point Detection in WLANs with Random AP Forests. - Alexis Huet; Jonatan Krolikowski; José Manuel Navarro; Fuxing Chen; Dario Rossi 001 (CoNEXT (Short Papers), 2023)

Replication: Contrastive Learning and Data Augmentation in Traffic Classification Using a Flowpic Input Representation. - Alessandro Finamore; Chao Wang 103; Jonatan Krolikowski; José Manuel Navarro; Fuxing Chen; Dario Rossi 001 (IMC, 2023)

Contrastive Learning and Data Augmentation in Traffic Classification Using a Flowpic Input Representation. - Alessandro Finamore; Chao Wang 103; Jonatan Krolikowski; José Manuel Navarro; Fuxing Chen; Dario Rossi 001 (CoRR, 2023)

A Systematic Comparison of Large Language Models Performance for Intrusion Detection. - Minh-Thanh Bui; Matteo Boffa; Rodolfo Vieira Valentim; José Manuel Navarro; Fuxing Chen; Xiaosheng Bao; Zied Ben-Houidi; Dario Rossi 001 (PACMNET, 2024)

Changepoint Detection via Subset Chains. - Alexis Huet; José Manuel Navarro; Dario Rossi 001 (PAKDD (4), 2025)